where \(N\) , \(\hat{y}\) , and \(y\)  denote the number of pixels, the output image, and the ground-truth image, respectively. We further incorporate perceptual loss [1]} and adversarial loss [2]} to improve the perceptual quality:
\(& \mathcal {L}_{percep} = \dfrac{1}{N}||f(\hat{y}) - f(y)||_2^2, \\& \mathcal {L}_{gen} = \log \left(1 - D(\hat{y})\right),\) 
